Detecting E Banking Phishing Websites Using Associative Classification PHP

Abstract

The term “phishing” is an old type network attack where the phisher creates a duplicate page having similar structure to the original verified page , the idea of this is to trick the users believing the page is their service provider to give out their sensitive information like bank details and password of their personal things they not only steal the bank information things to take out money but also might steal data to use them for their next step. This concept used in this is based on an end-host, this anti-phishing algorithm is also known as link-guard algorithm, when the phisher sends the email or message to the user they can input the link in this algorithm ,by evaluating the characteristics of the URL sent in that email it ranks how safe the site is and has various criteria that might put the threat at different levels. The Link Guard is based on URL characteristics so it can detect and forestall unknown or new ones. This project uses the PHP, WAMP Server as Front-End and Back-End respectively.